Helge Jacobsen is an MLOps engineering manager with 13 years of software and machine learning experience, currently leading research efficiency, model traceability, cost-efficient inference and scalable feature pipelines at Veo Technologies. He has repeatedly taken ML projects from prototype to production—most notably Prediction-as-a-Service products at Visma—and builds the tooling and processes that make experiments reproducible, auditable and deployable. As a team lead he combines technical depth in deep learning and data engineering with a focus on business value and customer impact, pushing teams to find practical sweet spots between research and product. Beyond engineering, Helge’s background includes teaching at DTU, startup co-living and summers instructing kitesurfing, reflecting a blend of mentoring, prototyping mindset and hands-on coaching that informs his leadership style.
13 years of coding experience
9 years of employment as a software developer
Stanford University (Coursera)
University of California San Diego
MSc, Data Science Specialisation, MSc, Data Science Specialisation at Danmarks Tekniske Universitet
Studentereksamen, Matematisk, Studentereksamen, Matematisk at Rysensteen Gymnasium
Contributions:22 commits, 1 push in 1 year 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.